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Data Science, Analyst
Data Science, AnalystAIA Malaysia • Kuala Lumpur, Kuala Lumpur, Malaysia
Data Science, Analyst

Data Science, Analyst

AIA Malaysia • Kuala Lumpur, Kuala Lumpur, Malaysia
30+ days ago
Job description

Overview

AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. Join to apply for the Data Science, Analyst role at AIA Malaysia.

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. We’re transforming our organisation to be faster, simpler and more connected to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. We need people with tech / digital / analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people.

If you believe in developing a better tomorrow, read on.

Responsibilities

  • Support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
  • Be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.
  • Create valuable best practices that can be replicated in other markets.
  • Produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
  • Deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.

Job Requirements

  • Bachelor's Degree or Master's Degree in any relevant field of study is required.
  • Minimum 3 years of experience in data science or related fields.
  • Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.
  • Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.
  • Good understanding of machine learning algorithm design principles and model management practices.
  • Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.
  • Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.
  • Able to collaborate with other teams to drive positive outcomes.
  • Strong business acumen and project management skills, with the ability to manage multiple priorities.
  • Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.
  • Strong sense of urgency and accountability to drive business outcomes.
  • #J-18808-Ljbffr

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